update vllm EFA version

Signed-off-by: Junpu Fan <junpu@amazon.com>

Author: junpuf

.github/PULL_REQUEST_TEMPLATE.md

@@ -1,11 +1,70 @@
-## PR Checklist
+## Purpose
 
-- [] I ran `pre-commit run --all-files` locally before creating this PR. (Read [DEVELOPMENT.md](https://github.com/aws/deep-learning-containers/blob/main/DEVELOPMENT.md) for details).
+## Test Plan
+
+## Test Result
+
+______________________________________________________________________
+
+<details>
+<summary>Toggle if you are merging into master Branch</summary>
+
+By default, docker image builds and tests are disabled. Two ways to run builds and tests:
+
+1. Using dlc_developer_config.toml
+1. Using this PR description (currently only supported for PyTorch, TensorFlow, vllm, and base images)
+
+<details>
+<summary>How to use the helper utility for updating dlc_developer_config.toml</summary>
+
+Assuming your remote is called `origin` (you can find out more with `git remote -v`)...
+
+- Run default builds and tests for a particular buildspec - also commits and pushes changes to remote; Example:
+
+`python src/prepare_dlc_dev_environment.py -b </path/to/buildspec.yml> -cp origin`
+
+- Enable specific tests for a buildspec or set of buildspecs - also commits and pushes changes to remote; Example:
+
+`python src/prepare_dlc_dev_environment.py -b </path/to/buildspec.yml> -t sanity_tests -cp origin`
 
-## Description
+- Restore TOML file when ready to merge
 
-<!-- Briefly describe the changes in this PR -->
+`python src/prepare_dlc_dev_environment.py -rcp origin`
 
-## Changes Made
+**NOTE: If you are creating a PR for a new framework version, please ensure success of the local, standard, rc, and efa sagemaker tests by updating the dlc_developer_config.toml file:**
+
+- [ ] `sagemaker_remote_tests = true`
+- [ ] `sagemaker_efa_tests = true`
+- [ ] `sagemaker_rc_tests = true`
+- [ ] `sagemaker_local_tests = true`
+
+</details>
+
+<details>
+<summary>How to use PR description</summary>
+Use the code block below to uncomment commands and run the PR CodeBuild jobs. There are two commands available:
+
+- `# /buildspec <buildspec_path>`
+  - e.g.: `# /buildspec pytorch/training/buildspec.yml`
+  - If this line is commented out, dlc_developer_config.toml will be used.
+- `# /tests <test_list>`
+  - e.g.: `# /tests sanity security ec2`
+  - If this line is commented out, it will run the default set of tests (same as the defaults in dlc_developer_config.toml): `sanity, security, ec2, ecs, eks, sagemaker, sagemaker-local`.
+
+</details>
+
+```
+/buildspec vllm/buildspec.yml
+# /tests <test_list>
+```
+
+</details>
+
+<details>
+<summary>Toggle if you are merging into main Branch</summary>
+
+## PR Checklist
+
+- [] I ran `pre-commit run --all-files` locally before creating this PR. (Read [DEVELOPMENT.md](https://github.com/aws/deep-learning-containers/blob/main/DEVELOPMENT.md) for details).
 
-## Testing Done
+</details>

.pre-commit-config.yaml

@@ -128,12 +128,14 @@ repos:
 
 
   ### Shell ###
-  - repo: https://github.com/scop/pre-commit-shfmt
-    rev: v3.12.0-2 # Use the latest stable revision
+  - repo: local
     hooks:
       - id: shfmt
         name: "🐚 shell · Format shell scripts"
-        args: ["-s"]
+        entry: shfmt
+        language: system
+        args: ["-w", "-s"]
+        types: [shell]
 
 
   # --------------------------- ✍️ Git Commit Quality -------------------------- #

README.md

@@ -4,7 +4,7 @@
 
 <p align="center"><strong>One stop shop for running AI/ML on AWS</strong></p>
 
-<p align="center"><a href="https://aws.amazon.com/ai/machine-learning/containers/"><strong>AWS Doc</strong></a> ·
+<p align="center"><a href="https://aws.github.io/deep-learning-containers/"><strong>Docs</strong></a> ·
 <a href="https://aws.github.io/deep-learning-containers/reference/available_images/"><strong>Available Images</strong></a> · <a href="https://aws.github.io/deep-learning-containers/tutorials/"><strong>Tutorials</strong></a></p>
 
 ______________________________________________________________________
@@ -13,9 +13,9 @@ ______________________________________________________________________
 
 ### 🚀 Release Highlights
 
-- **[2025/12/19]** Released v0.13.0 [vLLM DLCs](https://gallery.ecr.aws/deep-learning-containers/vllm)
-  - EC2/EKS/ECS: `public.ecr.aws/deep-learning-containers/vllm:0.13-gpu-py312-cu130-ubuntu22.04-ec2`
-  - SageMaker: `public.ecr.aws/deep-learning-containers/vllm:0.13.0-gpu-py312`
+- **[2026/02/06]** Released v0.15.1 [vLLM DLCs](https://gallery.ecr.aws/deep-learning-containers/vllm)
+  - EC2/EKS/ECS: `public.ecr.aws/deep-learning-containers/vllm:0.15-gpu-py312-ec2`
+  - SageMaker: `public.ecr.aws/deep-learning-containers/vllm:0.15-gpu-py312`
 - **[2025/11/17]** Released first [SGLang DLCs](https://gallery.ecr.aws/deep-learning-containers/sglang)
   - SageMaker: `public.ecr.aws/deep-learning-containers/sglang:0.5.5-gpu-py312`
 

docker/vllm/Dockerfile

@@ -8,7 +8,7 @@ FROM $BASE_IMAGE AS base
 # ====================== common =========================================
 ARG PYTHON="python3"
 LABEL maintainer="Amazon AI"
-ARG EFA_VERSION="1.46.0"
+ARG EFA_VERSION="1.47.0"
 LABEL dlc_major_version="1"
 ENV DEBIAN_FRONTEND=noninteractive \
   LANG=C.UTF-8 \